RESUMO
Reliable and valid cognitive screening tools are essential in the assessment of those with traumatic brain injury (TBI). Yet, there is no consensus about which tool should be used in clinical practice. This systematic review assessed psychometric properties of cognitive screening tools for detecting cognitive impairment in TBI. Inclusion criteria were: peer-reviewed validation studies of a cognitive screening tool(s); with a sample of adults aged 18-80 diagnosed with TBI (mild-severe); and with psychometrics consistent with COSMIN guidelines. Published literature was retrieved from MEDLINE, Web of Science Core Collection, EMBASE, CINAHL, and PsycINFO on 27 January 2022. A narrative synthesis was performed. Thirty-four studies evaluated the psychometric properties of a total of 22 cognitive screening tools, in a variety of languages. Properties assessed included structural validity, internal consistency, reliability, criterion validity (or diagnostic test accuracy), convergent/divergent validity, and discriminant validity. The Montreal Cognitive Assessment (MoCA) and the Mini Mental State Examination (MMSE) were the most widely validated cognitive screening tools for use in TBI. The MoCA had the most promising evidence of its psychometric properties, which has implications for clinical practice. Future research should aim to follow standard criteria for psychometric studies to allow meaningful comparisons across the literature.
RESUMO
OBJECTIVE: Cognitive screening tests can identify potential dementia by indicating a concerning level of cognitive impairment. The older populations for whom this is most relevant are more likely to experience chronic pain, which also impairs cognitive function, but pain's impact on cognitive screening tests specifically remains unknown. METHOD: We conducted a systematic review and meta-analysis (SR/MA) following PRISMA guidelines evaluating cognitive screening scores in studies involving participants with chronic pain compared with a pain-free control group. Our question was whether the presence of chronic pain (self-reported or based on diagnosis) was associated with poorer performance on these screens, and to identify the heterogeneity across groups and screens. RESULTS: The 51 studies identified yielded 62 effect size estimates. The pooled g was 0.76 (95% confidence interval 0.57 to 0.95). Heterogeneity was high for the full model (= 93.16%) with some reductions in sub-analyses. Around half of the studies were identified as being at a low risk of bias. There was no evidence of publication bias. CONCLUSIONS: As a whole, this analysis suggests medium to large effect sizes on cognitive screen performance when people are living with chronic pain. We suggest that clinicians should consider the effect of chronic pain when cognitive screens are employed to investigate dementia. Further research could clarify the effect pain has on different screen sub-domains to aid their effective use with these populations.
RESUMO
Previous studies have shown impaired memory for faces following restricted sleep. However, it is not known whether lack of sleep impairs performance on face identification tasks that do not rely on recognition memory, despite these tasks being more prevalent in security and forensic professions-for example, in photo-ID checks at national borders. Here we tested whether poor sleep affects accuracy on a standard test of face-matching ability that does not place demands on memory: the Glasgow Face-Matching Task (GFMT). In Experiment 1, participants who reported sleep disturbance consistent with insomnia disorder show impaired accuracy on the GFMT when compared with participants reporting normal sleep behaviour. In Experiment 2, we then used a sleep diary method to compare GFMT accuracy in a control group to participants reporting poor sleep on three consecutive nights-and again found lower accuracy scores in the short sleep group. In both experiments, reduced face-matching accuracy in those with poorer sleep was not associated with lower confidence in their decisions, carrying implications for occupational settings where identification errors made with high confidence can have serious outcomes. These results suggest that sleep-related impairments in face memory reflect difficulties in perceptual encoding of identity, and point towards metacognitive impairment in face matching following poor sleep.